Research

In my project, "Leveraging Python to Clean Hardware Data from Stress Testing," I show how I use Python to efficiently clean and process raw hardware performance data. I apply Python libraries to remove irrelevant columns from stress test data, focusing on CPU and temperature metrics. This method streamlines the data, allowing for clearer analysis and improving the reliability of hardware testing and optimization. 

This paper delves into the evolving landscape of fiat and cryptocurrencies, highlighting the differences between centralized fiat currencies like the USD and decentralized cryptocurrencies. It explores the historical context of the USD’s dominance, current economic challenges, and the potential for cryptocurrencies to reshape the global financial system. As cryptocurrencies gain mainstream acceptance, they could offer significant opportunities for struggling economies and challenge the existing financial order.

This paper examines the impact of the May 15, 2019, Huawei ban on US semiconductor firms, finding a short-term decrease in earnings but minimal long-term effects. By analyzing share price data from 16 publicly traded companies, the study reveals that while the ban caused immediate market adjustments, it did not significantly impact overall earnings. Further research is needed to explore the long-term implications on innovation and profitability in the industry.